Impact of Personal Beliefs in Business-to-Business Buyer Decisions
Bibliographic record
Abstract
For school transportation buyers, who have depended on diesel for decades, gaining knowledge of complex and dynamic information is complicated by the growing number of alternative fuel vehicles. As with a number of business purchases, school bus acquisitions represent a major expense for school districts. It a multi-faceted decision and is typically made by a group of influencers who weigh the various alternatives and have extensive input in the purchase process. As would be expected from a process of this nature there are many elements that are considered such as product cost, safety, reliability, maintenance costs, and anticipated fuel expenditures. As with many B2B decisions the general assumption, both by the bus companies and the school districts, is that while each district has different goals, price points, and expectations, these purchases follow a basic model of economic utility. The purchase that is expected is the one in which utility is maximized and cost is minimized. However, psychological ownership implications have the potential to help practitioners in understanding and predicting the important dimensions of customer value in the business-to-business context that influence the purchase decision. Therefore, a survey study was conducted that examined the importance of a variety of elements of the purchase decision with a clear sub-focus on sustainability as well as some demographic and psychographic questions. Individuals listed in two industry databases were contacted with an invitation to take the survey. Of those individuals 498 USA and Canadian school bus decision-makers and influencers responded. The primary relationship that was of interest was whether personal interest in sustainability and alternative fuel vehicles altered perceptions or behavior in the business decisions of the respondents (H1: Owners of hybrid vehicles will be more likely to purchase alternative fuel buses.) The hypothesis was supported. An implication for academicians from the study is that for Business-to-Business (B2B) purchasing individual perspectives of those carrying out policies have a significant influence on purchase decisions. Furthermore, from the study it can be seen that individuals in the buying center add value to economic theory of rational choice by bringing their personal knowledge to the buying center decision. While this has been accepted as a major aspect of individual decision making, it implies a much stronger weight to the psychological aspects of purchase in B2B decision than is currently accepted in modeling B2B buyer behavior. For practitioners, this study shows that it is very important for salespersons to know the personal driving habits of the buyers in a group as their behavior weighs on their interpretation of the benefits of other alternative fuel products in B2B setting. Alternately, if an influencer is not an alternative fuel owner then it will be much more difficult to make the argument for conversion to an alternative fuel bus fleet. In summation, because buying centers are made up of people with varying roles, previous knowledge from personal experience could impact final decisions. This knowledge of a gap and the personal experience with similar products provide just the opportunity needed to adjust the marketing mix needed to make the sale.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".